Article
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Spatial Correlations of Global Seismic Noise Properties
Version 1
: Received: 26 April 2023 / Approved: 27 April 2023 / Online: 27 April 2023 (04:30:53 CEST)
A peer-reviewed article of this Preprint also exists.
Lyubushin, A. Spatial Correlations of Global Seismic Noise Properties. Appl. Sci. 2023, 13, 6958. Lyubushin, A. Spatial Correlations of Global Seismic Noise Properties. Appl. Sci. 2023, 13, 6958.
Abstract
The correlations of seismic noise, recorded during 1997-2022 at 229 stations around the world are investigated. The property of waveforms, known as the Donoho-Johnston threshold, is analyzed, which separates the absolute values of the orthogonal wavelet coefficients into "small" and "large". Network of 50 reference points is considered. For each reference point, a time series with a time step of 1 day is calculated as the median of the values of the DJ index from the 5 nearest stations. For each reference point, the correlations between the values of the DJ index at other reference points are calculated in a sliding time window of 365 days. Average values of the DJ index decrease, which is interpreted as indicators of global seismic hazard increasing. The maximum distances between reference points with strong correlations show an explosive increase after 2011. Bursts in the mean coherences between the length of day (LOD) and the values of the DJ index at the reference points precede the release of seismic energy with a delay of about 530 days. High amplitude of the DJ index response to LOD for the times 2020-2022 was identified, which may forecast a strong earthquake in the second half of 2023.
Keywords
seismic noise; wavelet-based entropy; wavelet-based Donoho-Johnston index; correlations; day length
Subject
Environmental and Earth Sciences, Geophysics and Geology
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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